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000293574 1001_ $$aOstau, Nicola Edith von$$b0
000293574 245__ $$aBicenter validation of a risk model for the preoperative prediction of extraprostatic extension of localized prostate cancer combining clinical and multiparametric MRI parameters.
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000293574 520__ $$aThis study aimed to validate a previously published risk model (RM) which combines clinical and multiparametric MRI (mpMRI) parameters to predict extraprostatic extension (EPE) of prostate cancer (PC) prior to radical prostatectomy (RP).A previously published RM combining clinical with mpMRI parameters including European Society of Urogenital Radiology (ESUR) classification for EPE was retrospectively evaluated in a cohort of two urological university hospitals in Germany. Consecutive patients (n = 205, January 2015 -June 2021) with available preoperative MRI images, clinical information including PSA, prostate volume, ESUR classification for EPE, histopathological results of MRI-fusion biopsy and RP specimen were included. Validation was performed by receiver operating characteristic analysis and calibration plots. The RM's performance was compared to ESUR criteria.Histopathological T3 stage was detected in 43% of the patients (n = 89); 45% at Essen and 42% at Düsseldorf. Discrimination performance between pT2 and pT3 of the RM in the entire cohort was AUC = 0.86 (AUC = 0.88 at site 1 and AUC = 0.85 at site 2). Calibration was good over the entire probability range. The discrimination performance of ESUR classification alone was comparable (AUC = 0.87).The RM showed good discriminative performance to predict EPE for decision-making for RP as a patient-tailored risk stratification. However, when experienced MRI reading is available, standardized MRI reading with ESUR scoring is comparable regarding information outcome. A main limitation is the potentially limited transferability to other populations because of the high prevalence of EPE in our subgroups.
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000293574 650_7 $$2Other$$aExtraprostatic extension
000293574 650_7 $$2Other$$aMultiparametric MRI
000293574 650_7 $$2Other$$aPositive surgical margins
000293574 650_7 $$2Other$$aProstate cancer
000293574 650_2 $$2MeSH$$aHumans
000293574 650_2 $$2MeSH$$aMale
000293574 650_2 $$2MeSH$$aProstatic Neoplasms: pathology
000293574 650_2 $$2MeSH$$aProstatic Neoplasms: surgery
000293574 650_2 $$2MeSH$$aProstatic Neoplasms: diagnostic imaging
000293574 650_2 $$2MeSH$$aMultiparametric Magnetic Resonance Imaging
000293574 650_2 $$2MeSH$$aRetrospective Studies
000293574 650_2 $$2MeSH$$aRisk Assessment
000293574 650_2 $$2MeSH$$aMiddle Aged
000293574 650_2 $$2MeSH$$aAged
000293574 650_2 $$2MeSH$$aNeoplasm Invasiveness
000293574 650_2 $$2MeSH$$aProstatectomy: methods
000293574 650_2 $$2MeSH$$aPredictive Value of Tests
000293574 650_2 $$2MeSH$$aPreoperative Care: methods
000293574 7001_ $$00009-0000-9472-8956$$aHandke, Analena Elisa$$b1
000293574 7001_ $$0P:(DE-He78)1042737c83ba70ec508bdd99f0096864$$aWiesenfarth, Manuel$$b2$$udkfz
000293574 7001_ $$aAlbers, Peter$$b3
000293574 7001_ $$aAntoch, Gerald$$b4
000293574 7001_ $$aNoldus, Joachim$$b5
000293574 7001_ $$aReis, Henning$$b6
000293574 7001_ $$aCotarelo, Cristina$$b7
000293574 7001_ $$aPreetz, Julia$$b8
000293574 7001_ $$aUmutlu, Lale$$b9
000293574 7001_ $$aIngenwerth, Marc$$b10
000293574 7001_ $$0P:(DE-He78)79897f8897ff77676549d9895258a0f2$$aRadtke, Jan Philipp$$b11$$udkfz
000293574 7001_ $$aHadaschik, Boris$$b12
000293574 7001_ $$aSchimmöller, Lars$$b13
000293574 7001_ $$aKesch, Claudia$$b14
000293574 773__ $$0PERI:(DE-600)1463303-6$$a10.1007/s00345-024-05232-6$$gVol. 42, no. 1, p. 530$$n1$$p530$$tWorld journal of urology$$v42$$x0724-4983$$y2024
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